Hi All,

Though not with MASON, but with Repast, we are using a Proactive based 
approach. We found that it works better than MPI (more intuitive to use, 
etc.) and it's fully compatible with Java. It should also work for MASON, I 
think.

Others with Repast are known using Terracotta for similar purposes.

I hope this helps,

-- gulya
-- 
dr. Gulyás László          | Laszlo Gulyas, PhD
kutatási igazgató          | dir. of research
AITIA International Zrt. | AITIA International Inc.

----- Original Message ----- 
From: "Glen E. P. Ropella" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Friday, December 07, 2007 4:02 AM
Subject: Re: [MASON-INTEREST-L] cluster or grid parallelization


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> Maciej M. Latek on 12/06/2007 05:48 PM:
>> That is very interesting issue you raise. I understand you are interested 
>> in
>> fine-grained distributed memory applications: I have experimented 
>> recently
>> with Proactive.  While learning curve might be steep (which is not helped 
>> by
>> [...]
>> What scale of simulation are we talking about that a decent 8 core 
>> desktop
>> with plenty of RAM is not enough?
>
> Thanks for the lead to Proactive.  I'll take a look at it.
>
> Most of my work these days is in biological modeling, which means ~100s
> of thousands of relatively homogenous agents per simulation.  Coarse
> grained simulation (the kind manageable by "shell scripts and rsh",
> though I prefer MPI) has worked for me so far.  But, I'm about to embark
> on a project that might require a much more fine granularity, or more
> accurately multi-grain hierarchical agents.  I'm just looking for an
> evolutionary path to bridge from the current grain to the finer grain.
>
> - --
> glen e. p. ropella, 971-219-3846, http://tempusdictum.com
> Power never takes a back step - only in the face of more power. -- Malcolm 
> X
>
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